PO.PS01.11 · 人群科学
扩大癌症免疫治疗试验的数字化可及性:全国范围的参与与21,000名患者中的高匹配率
Expanding digital access to cancer immunotherapy trials: Nationwide engagement and high match rates among 21,000 patients
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作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
临床试验对推进癌症治疗和精准医学至关重要。它们提供获取创新治疗的途径,是验证新疗法、为监管审批和改善治疗生成证据的基础。然而参与仍然有限——仅9%的美国患者报告曾被邀请参加临床试验,五分之一的成人癌症试验因入组率低而无法完成。提高患者和医务人员的认识并帮助患者选择最佳方案,是缩小这一差距的关键。
为帮助解决这些障碍,癌症研究所(CRI)提供了一款免费的在线临床试验查找器(Clinical Trial Finder),旨在将患者与癌症免疫治疗试验连接起来。该工具使用一份简短问卷,根据癌症类型、地点及其他入组标准将用户匹配到正在开展的研究。用户可获取来源于ClinicalTrials.gov的全部临床试验组合,并可按癌症类型、药物类型、试验分期和申办方进行搜索。此外还可通过电话或电子邮件获得一对一的试验导航支持。
在九个月的时间里,超过21,300人访问了CRI临床试验查找器网页(https://cri.careboxhealth.com/en-US/)。几乎所有完成问卷的人都是在线完成(95.6%,3,651人),而非通过电话或电子邮件(169人,4.4%)。在线用户的问卷完成率也更高(2,510人,68.7%),而电话或电子邮件用户为(87人,5.1%)。在所有完成问卷的人中(n=2,597),97.2%匹配到至少一项正在开展的临床试验。这一匹配率大大高于已发表的报告,可能反映了不限癌症类型和基因组驱动的免疫治疗试验的广泛入组资格。
用户来自美国49个州和哥伦比亚特区,人数最多的为加利福尼亚州(157人)、得克萨斯州(74人)和佛罗里达州(74人)(提供地点者n=1,036);怀俄明州无用户。这些数据与美国总体人口分布相吻合,展示了全国范围的覆盖。
约三分之一(1,210人)的用户报告诊断为胰腺癌、乳腺癌或卵巢癌。尽管乳腺癌是美国女性中最常被诊断的癌症,但胰腺癌和卵巢癌发病率较低且常在晚期才被发现,治疗选择较少,这使得临床试验对这些患者尤为重要。患有肉瘤(118人)、肾癌(66人)、皮肤癌(16人)、甲状腺癌(8人)或睾丸癌(4人)的个体匹配率为100%。黑色素瘤匹配率最低(87.3%,48人)。
我们的发现表明,在线、对患者友好的工具辅以个性化导航支持,如何有助于弥合患者与癌症研究之间的差距。通过降低可及性障碍并赋能患者,数字化试验匹配服务可以帮助推进临床试验参与,并使更多挽救生命的免疫疗法惠及更多人。
本摘要文本使用了AI进行审校。
查看英文原文 English abstract
Clinical trials are essential to advancing cancer care and precision medicine. They provide access to innovative treatments and are fundamental to validating new therapies, generating evidence for regulatory approval and improved care. Yet participation remains limited - only 9% of U.S. patients report being invited to a clinical trial, and one in five adult cancer trials fail to finish due to low enrollment. Increasing patient and provider awareness and helping patients navigate their best options are key to closing this gap.
To help address these barriers, the Cancer Research Institute (CRI) provides a free, online Clinical Trial Finder designed to connect patients with cancer immunotherapy trials. The tool uses a short survey to match users to open studies based on cancer type, location, and other eligibility criteria. Users can access the full portfolio of clinical trials sourced from the ClinicalTrials.gov and search by cancer type, drug type, trial phase, and sponsor. Additional one-on-one trial navigation support is available by phone or email.
Over nine months, more than 21,300 individuals visited the CRI Clinical Trial Finder webpage (https://cri.careboxhealth.com/en-US/). Nearly all individuals who completed the survey did so online (95.6%, 3,651) rather than by phone or email (169, 4.4%). Survey completion rates were also higher for online users (2,510, 68.7%) versus phone or email (87, 5.1%). Among all individuals who completed the survey (n=2,597), 97.2% matched to at least one open clinical trial. This match rate is substantially higher than published reports and may reflect broad eligibility of cancer-type-agnostic and genomically-driven immunotherapy trials.
Users came from 49 U.S. states and the District of Columbia, with the largest numbers in California (157), Texas (74), and Florida (74) (n=1,036 who provided location); there were no users in Wyoming. These data mirror general U.S. population distribution and demonstrate nation-wide reach.
About one-third (1,210) of users reported a diagnosis of pancreatic, breast, or ovarian cancer. While breast cancer is the most commonly diagnosed cancer among women in the U.S., pancreatic and ovarian cancers are lower incidence and often detected in later stages, with fewer treatment options, making clinical trials particularly relevant for these patients. Individuals with sarcoma (118), kidney (66), skin (16), thyroid (8), or testicular (4) cancer had a 100% match rate. Melanoma had the lowest (87.3%, 48).
Our findings demonstrate how online, patient-friendly tools supplemented with personalized navigational support can help bridge the gap between patients and cancer research. By lowering barriers to access and empowering patients, digital trial-matching services can help advance clinical trial participation and make more life-saving immunotherapies available to more people.
AI was used to review abstract text.
利益披露 Disclosure
C. L. Neben,
Color Health, Inc. Employment.
W. Weise, None..
S. Upadhaya, None.
A. Y. Zhou,
Color Health, Inc. Employment.